A shopper ready to buy
won’t wait for an answer.
On a busy store, plenty of shoppers have a question right before they buy. A size, a delivery date, whether it fits their model. Phone lines and live chat usually miss that minute. We train an AI assistant on your catalog and order data, so it answers in seconds and more of those shoppers check out.
Why the moment matters
Of shoppers expect an immediate answer to a question
LiveChatOf customers buy from the business that answers first
Lead-response researchMore likely to convert when a shopper uses chat
FreshworksHigher average order value within a week of adding chat
Tidio
It answers like
someone who knows the store.
It reads the question, checks your catalog and order data, and answers in seconds. It can point a shopper to the right product, explain the things they would otherwise wait on hold for, and give a live order status. When a case needs a person, it hands it over with the context.
- Recommends products that fit, with the right variant, price, and stock
- Advises on sizing, compatibility, delivery, and what goes with what
- Answers order, shipping, and return questions from your systems
- Hands off to your team with a summary when a case needs a person
We build it, train it,
and keep it sharp.
We build and run this as a service. We take your past conversations, your store rules, and your catalog, and train an assistant that works the way your team already does. Think of it as another person on the support desk who happens to know the whole catalog. After launch we stay on it, fixing the misses and widening what it covers. In our deployments adoption is high, because the answers are right.
We learn your store
Past chats and calls, return and shipping rules, the catalog, the edge cases your team knows by heart. That’s the training material.
The assistant shadows your team
It answers the way a good agent would, within boundaries we set together: what it handles end to end, and what always goes to a person.
We tune it on real conversations
It learns from real shopper questions. We watch the misses, fix them, and widen what it covers over time.
The questions that
decide a sale.
Recommends the right product
It reads the question, checks the catalog, and suggests products that fit, with the right variant, price, and stock. It works from intent, so a vague ask still lands on the right item.
Advises like a good salesperson
Sizing, compatibility, materials, delivery times, what goes with what. The kind of judgment a shopper would otherwise wait on hold for.
Answers order and delivery questions
Status, shipping, returns, and exchanges, pulled live from your systems. It gives the real answer, with the real date.
Knows your rules
Promotions, return policy, shipping thresholds, what is in stock. It answers the way your best agent would, because it learns how your store actually runs.
Hands off when it should
When a case needs a person, it passes the conversation over with a short summary, so the customer never repeats themselves.
Always on
Nights, weekends, and the Q4 rush. The moment a shopper is deciding is the moment it answers.
It reads live data,
so the answers are real.

Plus your order-management, shipping, and helpdesk systems. Availability, prices, and order status come straight from your live data.
Good to know.
Is this a product we install ourselves?
It’s a service we build and run with you. We train the assistant on your catalog, your store rules, and your past customer conversations, connect it to your systems, and keep improving it. You get something shaped around how your store works.
How does it lift conversion?
A good share of shoppers on a busy store have a question right before they buy: a size, a delivery date, whether it fits their model. Human channels often miss that minute. The assistant answers in seconds and points them to the right product, so they finish the purchase instead of leaving.
What does it connect to?
Your ecommerce platform and catalog, your order-management and shipping data, and your helpdesk. It reads live product and order data, so the answers are accurate and current.
What about questions it shouldn’t answer?
It hands them to a person, with a summary of the conversation so far. We set the boundaries with you: what it handles end to end, and what always goes to the team.
Related areas
Voice AI for support calls
Voice assistants connected to telephony, catalog data, and order systems: statuses, returns, product advice, and escalation. →
AI Visibility · GEOVisibility in AI answers
Before an agent moves to checkout, AI has to find and understand the store's offer. ChatGPT, Gemini, Perplexity, and Google AI. →
Agentic CommerceCatalogs ready for shopping agents
Once AI finds your store, an agent still needs to understand products, variants, availability, and checkout. ACP, UCP, feeds, and structured data. →
See it on your own catalog.
In 30 minutes we’ll look at the questions your shoppers ask, where the sale is being lost, and what an assistant trained on your store would actually answer.
Or email hello@syntropicsignal.ai
